双11AI换脸推荐

import cv2
import dlib

# 加载人脸检测器和面部标志检测器
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")

# 读取源图像和目标图像
source_image = cv2.imread("source.jpg")
target_image = cv2.imread("target.jpg")

# 转换为灰度图像
source_gray = cv2.cvtColor(source_image, cv2.COLOR_BGR2GRAY)
target_gray = cv2.cvtColor(target_image, cv2.COLOR_BGR2GRAY)

# 检测人脸
source_faces = detector(source_gray)
target_faces = detector(target_gray)

for source_face, target_face in zip(source_faces, target_faces):
    # 获取面部标志
    source_landmarks = predictor(source_gray, source_face)
    target_landmarks = predictor(target_gray, target_face)
    
    # 进行换脸处理（此处简化处理）
    # 实际应用中需要更复杂的图像融合技术
    for i in range(0, 68):
        source_x = source_landmarks.part(i).x
        source_y = source_landmarks.part(i).y
        target_x = target_landmarks.part(i).x
        target_y = target_landmarks.part(i).y
        
        # 简单的像素替换
        target_image[target_y, target_x] = source_image[source_y, source_x]

# 显示结果
cv2.imshow("Result", target_image)
cv2.waitKey(0)
cv2.destroyAllWindows()